Sales Technology Enablement Specialist

Responsibilities: Improve commercial effectiveness by understanding user priorities and friction points, then recommending practical tech-enabled improvements Enable AI adoption through examples, prompts, trainings, demonstrations, and office hours Shape Enterprise AI experiences by maintaining skills, agents, workflows, and artifacts and ensuring accessible data with proper access controls Coordinate with D&T for custom development, integrations, and technical changes while representing user needs Provide first-line guidance for commercial applications, resolve common issues, and route advanced requests appropriately Coordinate user onboarding, access requests, license management, and communications for assigned tools Test workflows against sales scenarios, gather feedback, and coordinate refinements while noting AI limitations Promote responsible use with data privacy, security, and approved usage policies Measure adoption and value by tracking feedback and outcomes and informing investments Maintain clear, reusable enablement materials for ongoing user support and consistency

Key requirements: 3–6 years of professional experience in sales support, Sales Operations, or related roles Strong service orientation and ability to build trust with sales users Genuine curiosity about AI and commercial technology with persistence Experience supporting technology adoption, user training, or day-to-day use of commercial applications Strong communication, organization, and follow-through; ability to manage multiple initiatives Good judgment around data sensitivity, permissions, accuracy, and human review of AI outputs Ability to translate business needs into clear requirements and collaborate with technical teams without being a developer Experience partnering with technical teams to clarify needs, test changes, and support rollout Comfort with working in a cross-functional, user-centric environment Customer-centric mindset Curiosity and persistence Clear communication Enterprise AI tools (Copilot, Claude, Glean) Training and enablement design for AI tools Requirements gathering and user story translation